Function reference • multimput

All functions
`aggregate_impute()`	Aggregate an imputed dataset
`aggregatedImputed-class`	The `aggregatedImputed` class Holds an aggregated imputation data set
`generateData()` `missingAtRandom()` `missingCurrentCount()` `missingObserved()` `missingVolunteer()`	Deprecated functions
`generate_data()`	Generate simulated data
`hurdle_impute()`	Combine two models into a hurdle model
`impute()`	Impute a dataset
`maybeInla-class`	The `maybeInla` class
`missing_at_random()`	Generate missing data at random
`missing_current_count()`	Generate missing data depending on the counts
`missing_observed()`	Generate missing data based on the observed patterns in the real dataset.
`missing_volunteer()`	Generate missing data mimicking choices made by volunteers.
`model_impute()`	Model an imputed dataset
`rawImputed-class`	The `rawImputed` class Holds a dataset and imputed values
`waterfowl`	The observation pattern in the Flemish waterfowl dataset

Reference